finds position of least significant unset bit */

Constructor: takes a const ref to the matrix object with the data points

Deleted copy constructor*/

* KDTree constructor * * Refer to docs in README.md or online in * https://github.com/jlblancoc/nanoflann * * The KD-Tree point dimensi

* KDTree constructor * * Refer to docs in README.md or online in * https://github.com/jlblancoc/nanoflann * * The KD-Tree point dimensi

Constructor: takes a const ref to the vector of vectors object with the data points

Default constructor. Initializes a new pool. */

Note: The first argument (checks_IGNORED_) is ignored, but kept for * compatibility with the FLANN interface */

teaser needs no intensity channel

The constructor requires the variable key, the (X, Y) measurement value, and the noise model

* Called during search to add an element matching the criteria. * @return true if the search should be continued, false if the results are * suf

Add points to the set, Inserts all points from [start, end] */

* Builds the index */

The second is a 'clone' function that allows the factor to be copied. Under most circumstances, the following code that employs the default copy const

Using the NoiseModelFactor1 base class there are two functions that must be overridden. The first is the 'evaluateError' function. This function imple